Autumn School 2015

The Big Data Competence Center ScaDS Dresden/Leipzig organized the 1st Autumn School for Big Data between September 21-25, 2015. The offer of the autumn school was primarily aimed at students and young graduates as well as scientific employees who are active in research in the broad field around Big Data. On the one hand, the Fall School taught the basics of dealing with large and complex data sets, but also provided an overview of current solution approaches. Thus, the participants got a direct insight into current research fields. Furthermore, there was the possibility to exchange ideas and to discuss the contents between the participants and the lecturers.

The Autumn School was held at the AZIMUT Hotel in Dresden.


Program & Highlights

The program was jointly organized by invited experts, by members of the ScaDS Dresden/Leipzig Competence Center, and by colleagues from the Berlin Big Data Center (BBDC).

It included diverse topics from current research areas, such as from the field of Big Data analysis, machine learning and knowledge extraction, data life cycle management and workflow organization. The program was rounded off by exciting insights into highly topical application areas, such as life sciences or digital humanities.

Machine Learning

  • ML 1: Ralf Herbrich (Amazon Research): Large-Scale Applications of Graphical Models
  • ML 2: Prof. Carsten Rother (TUD): Deep Structured Learning in Computer Vision
  • ML 3: Jochen Tiepmar, Prof. Heyer (UL): Data Mining for Digital Humanities
  • ML 4: Sven Dähne (TU Berlin) Multimodal Neuroimaging

Big Data Technology Overview

  • T1: Dr. Eric Peukert (UL) Basics of Hadoop using the example of efficient duplicate detection
  • T2: Patrick Riemann/Prof. Matthias Hagen (Uni Weimar): Hot Topics in Information Visualization
  • T3: Sebastian Schelter (TU Berlin) An overview of Big Data Processing Systems and Apache Flink.

Infrastructures

  • IS 1: Bernd Schuller (FZ Jülich): Data management and data processing using UNICORE
  • IS 2: Prof. Wolfgang E. Nagel (TUD): HPC and Data Intensive Computing

Big Data Applications

  • A1: Prof. Karol Kozak (Fraunhofer IWS): Big Data challenges in handling medical data
  • A2: Prof. Jochen Fröhlich (TUD): Challenges in fluid mechanics applications
  • A3: Sunna Torge (Fraunhofer IVI): Big Data and traffic
  • A4: Johannes Kirschnick (TU Berlin) Scalable Machine Learning.

Tutorials

  • Tut: Flink Hand-On Session


Contact

The autumn school was organized by ScaDS Dresden/Leipzig in cooperation with Berlin Big Data Center (BBDC).

Dr. René Jaekel
ScaDS Dresden/Leipzig, TU Dresden

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